Last updated: 2026-08-12
Quick Answer: Evaluate safety intelligence platforms against a written operating scope, not a vendor-authored ranking. Require current documentation, classify features as native, integrated, manual, planned, or not verified, and test material claims on representative site footage with buyer-approved measures for detection quality, workflow completion, privacy, deployment, and total cost.
Disclosure: SAFVR publishes this guide and sells a Safety Intelligence Platform. The framework is designed to be applied equally to SAFVR and every other vendor.
Define the Decision Before Comparing Products
A feature list is useful only after the buying team agrees on the operating problem. Document:
- the unsafe acts and conditions in scope;
- the sites, zones, shifts, cameras, and systems involved;
- what must happen after an event is detected;
- deployment, retention, security, and data-residency constraints;
- workforce notice and consultation requirements; and
- the evidence required for pilot acceptance and contracting.
Products that solve different needs should not be forced into a single winner/loser matrix. If one product is primarily an inspection workflow and another is a camera-based detection layer, evaluate each against the job it is intended to perform and the way the systems would work together.
Ten Evidence Areas for a Buyer Scorecard
Use buyer-defined weights and record the source behind every score.
| Evaluation area | Questions to ask | Evidence to keep |
|---|---|---|
| Use-case coverage | Which requested hazards are supported in the proposed configuration? | Dated capability list and demonstrated scenarios |
| Camera fit | Which protocols, resolutions, frame rates, angles, and network conditions are required? | Camera matrix and sample-feed test |
| Detection quality | How are precision, recall, false positives, and false negatives calculated by use case? | Labelled test set, method, and results |
| Workflow depth | Which steps are native, integrated, manual, or services-supported? | End-to-end workflow demonstration |
| Site adaptation | What configuration or calibration is required and who maintains it? | Implementation plan and responsibility matrix |
| Deployment | Where are video and metadata processed, stored, and transmitted? | Architecture and data-flow diagrams |
| Privacy and governance | Does the system identify people, and how are access, retention, notice, and review handled? | Policies, DPA, role model, and worker-impact review |
| Reporting | Which records and exports are available for the required workflow? | Sample artifacts produced during the pilot |
| Security | Which certifications and controls are current and applicable to the purchased service? | Certificates, scope statements, test summaries, and contract terms |
| Commercial fit | What is included across hardware, storage, integrations, support, implementation, and exit? | Same-scope quote and total-cost worksheet |
Use Evidence Statuses, Not Assumptions
A fair comparison matrix should use these statuses:
| Status | Definition |
|---|---|
| Demonstrated native | Shown in the proposed product and deployment model |
| Demonstrated through integration | Depends on a named third-party product or connector |
| Manual or services-supported | People complete a material part of the outcome |
| Planned | Roadmap only; not a current contractual capability |
| Not verified | The buyer does not yet have enough evidence |
Do not convert “not found on the public website” into “No.” Vendor sites are incomplete and change frequently. Likewise, avoid “Limited” unless the exact limit is material to the buyer, linked to a dated source, and confirmed for the configuration being considered.
Require Verifiable Product Claims
For every material claim, retain:
- the exact wording;
- the source URL or document;
- the date reviewed;
- the product edition and deployment model;
- the buyer requirement it answers; and
- the demonstration, pilot, or contract evidence that confirms it.
This is especially important for camera compatibility, detection performance, deployment location, integrations, regulatory support, pricing, and claims about another vendor.
Test the System in a Same-Scope Pilot
A pilot should answer agreed questions in the buyer's environment. Define the method before results are known.
Pilot scope
- representative cameras and lighting conditions;
- named zones, shifts, and hazard classes;
- ground-truth sampling and independent review roles;
- alert routes and escalation rules;
- required integrations and exports; and
- privacy, retention, access, deletion, and incident-response tests.
Pilot measures
| Measure | Define before testing |
|---|---|
| Precision | Which reviewed detections count as true positives? |
| Recall | How will missed events be identified and sampled? |
| False-positive rate | What denominator and review window will be used? |
| Alert latency | Which event and notification timestamps start and stop the clock? |
| Workflow completion | What counts as assigned, corrected, verified, and closed? |
| Availability | Which components, maintenance windows, and network dependencies are included? |
| User acceptance | Which roles provide feedback and how is it recorded? |
Numbers from a different customer, camera estate, or hazard class may provide context, but they do not replace measurements from your deployment.
Review Privacy, Employment, and Safety Governance
Computer-vision safety systems can affect workers even when facial recognition is not used. Review the intended purpose, camera locations, notices, lawful basis, access controls, retention, disciplinary-use boundaries, human review, and appeal or correction process.
Software can support a compliance program, but it cannot guarantee regulatory compliance or eliminate incidents. Qualified legal, privacy, employment, security, and safety advisers should review the proposed use in each jurisdiction. Keep competent-person and human-approval responsibilities explicit for high-consequence actions.
Compare Total Cost Without Invented Benchmarks
Use the same term and scope for every proposal. Include:
- software subscription and licensed units;
- edge or server hardware;
- camera upgrades, networking, and storage;
- implementation and calibration;
- integrations and identity management;
- training and change management;
- support and service levels;
- security, privacy, and workforce-consultation work; and
- data export, transition, and termination costs.
Treat incident reduction, insurance pricing, administrative savings, and payback as scenarios unless the evidence is relevant, measured, source-labelled, and approved for public use. Record assumptions separately from observed results.
How SAFVR Should Be Evaluated
SAFVR is a site-specific Safety Intelligence Platform for industrial operations. AURA is designed to connect existing camera infrastructure and safety workflows into a configurable Detect → Act → Improve → Prevent loop.
That description is not a substitute for proof. Buyers should require SAFVR to validate camera compatibility, supported use cases, configuration, integrations, workflow behavior, deployment architecture, and commercial scope for the proposed site. Existing-camera support remains subject to camera quality, placement, network access, and technical review.
The paid 30-day safety intelligence pilot is the appropriate place to test SAFVR against a buyer-approved scorecard. For a concise version of this framework, see the AI workplace safety software buyer guide.
Frequently Asked Questions
Can a safety intelligence platform work with existing cameras?
It may, but compatibility depends on protocol, resolution, frame rate, placement, lighting, network access, and the selected use case. Validate a representative sample of the actual camera estate before contracting.
What should a safety platform pilot prove?
It should test agreed use cases, detection quality, workflow behavior, privacy and data handling, exports, deployment assumptions, user acceptance, and total cost in the buyer's environment.
Can safety software guarantee compliance or incident prevention?
No. It can support detection, evidence, workflow, and reporting, while legal duties, operational controls, competent-person decisions, and jurisdiction-specific review remain with the organization.
How should a buyer handle a feature that cannot be verified?
Record it as “not verified,” ask the vendor for evidence, and avoid treating silence or missing public documentation as proof that the feature does not exist.
How should we justify the budget?
Build a total-cost model from the actual proposal and use measured baseline data. Keep observed pilot results separate from assumptions about avoided incidents, time savings, insurance outcomes, or future scale.
If you want to apply this framework to SAFVR, review the paid pilot methodology or schedule a requirements call.